Adopt a more agile approach to risk management by unifying data and AI in the Lakehouse

This solution has two parts. First, it shows how Delta Lake and MLflow can be used for value-at-risk calculations – showing how banks can modernize their risk management practices by back-testing, aggregating and scaling simulations by using a unified approach to data analytics with the Lakehouse. Secondly. the solution uses alternative data to move towards a more holistic, agile and forward looking approach to risk management and investments.
Read the full writeup part 1→
Read the full writeup part 2→

Download the VaR and Risk Management Notebooks:

Solution Accelerator - How to build: Market Risk Solutions

Modernizing Risk Management

Benefits and business value

Solution Accelerator - How to build: market risk solutions benefits icon 1

Gain a holistic view

Use a more complete view of risk and investment with real-time and alternative data that can be analyzed on-demand

Solution Accelerator - How to build: market risk solutions benefits icon 2

Detect emerging threats

Proactively identify emerging threats to protect capital and optimize exposures

Solution Accelerator - How to build: market risk solutions benefits icon 3

Achieve Speed at Scale

Scan through large volumes of data quickly and thoroughly to respond in time and reduce risk

Reference architecture

how to build market risk solutions diagram

Additional assets

Möchten Sie loslegen?

try databricks for free